Track accepted paper

CiteScore:
3.00ℹCiteScore:2017: 3.000CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor:
1.952ℹImpact Factor:2017: 1.952The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

5-Year Impact Factor:
2.350ℹFive-Year Impact Factor:2017: 2.350To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

Source Normalized Impact per Paper (SNIP):
1.580ℹSource Normalized Impact per Paper (SNIP):2017: 1.580SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR):
0.662ℹSCImago Journal Rank (SJR):2017: 0.662SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

Special Issue on Graphonomics for e-citizens: e-health, e-society, e-education

MOTIVATIONS:

Handwriting analysis and recognition has been widely studied for many years contributing to the development of a research field, which produced a large amount of both theoretical and experimental results. In this framework, the automatic processing of handwriting and drawing features, both on-line and off-line, in order to automatically classify specimens of handwriting, represents the core information processing technology behind many successful applications that are in daily use. Examples of the such applications can be found in human-machine interfaces, such as the electronic pen pad and automatic signature verification equipment, mail sorting, check reading and form processing, just to mention a few. The term graphonomics, coined in 1982, intends to capture the multidisciplinary and
interdisciplinary nature of the entire research field. It denotes the scientific and technological effort involved in identifying relationships among the planning and generation of handwriting and drawing movements, the resulting spatial traces of writing and drawing instruments (either conventional or electronic), and the dynamic features of these traces. Even if many effective methods have been proposed in the literature and successfully applied in a number of real applications, these problems are still very far from being solved in the general case.

The aim of this Special Issue is to bring together the works of many experts in this multidisciplinary subject that involves different competences and knowledge, which span from
the study of the handwriting generation models to the development of machine learning techniques for handwriting recognition. The Special Issue should allow us to highlight the
advances on these topics from a wide-angle perspective, as well as to stimulate new theoretical and applied research for better characterizing the state of the art in this subject.
The special issue should follow the 18th Conference of the International Graphonomics Society (IGS2017) that will take place from 18 to 21 June 2017 in Gaeta, Italy, but submissions will be not restricted to IGS2017 contributors.

Submission period: October 20 - November 20, 2017
First review notification: January 10, 2018
Revision submission: February 25, 2018
Second review notification: March 31, 2018
Final notice of acceptance/rejection: April 5, 2018

REVIEW PROCESS
The review process will be done by following the standard review process of PRLetters.
Each paper will be reviewed by at least two experts in the field. In general, only two reviewing rounds will be possible, out of which major revision is possible only for the first round. Papers that after the 2nd reviewing round still need major revision will be most possibly rejected.

SUBMISSION INSTRUCTIONS
Prospective authors are invited to upload their manuscripts during the submissions period. Papers should be prepared by adhering to the PRLetters guidelines. When uploading their
papers through the online system, Authors should select the acronym “SI:G4EC” to make it clear that they are submitting to this SI.
Contributors will be informed that their papers should not have been published previously, nor be under consideration for publication elsewhere. If the submissions are extended works of previously published papers, the original works should be included and a description of the changes that have been made should be provided.